将符号学习技术应用于机器人操作任务的新系统架构

Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93) Pub Date : 1993-07-26 DOI:10.1109/IROS.1993.583813

J. Kreuziger, M. Hauser

{"title":"将符号学习技术应用于机器人操作任务的新系统架构","authors":"J. Kreuziger, M. Hauser","doi":"10.1109/IROS.1993.583813","DOIUrl":null,"url":null,"abstract":"Presents a new system architecture that enables a robot control system to learn at a symbolic level during planning and executing tasks. A user can program the robot by simply demonstrating the tasks it should perform. By performing inductive generalization and specialization steps, the system is able to improve its knowledge base. The architecture consists of a set of distributed knowledge units which realize a focus of attention that is necessary for efficient execution and learning, and which also makes competition between different problem solutions possible.","PeriodicalId":299306,"journal":{"name":"Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A new system architecture for applying symbolic learning techniques to robot manipulation tasks\",\"authors\":\"J. Kreuziger, M. Hauser\",\"doi\":\"10.1109/IROS.1993.583813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a new system architecture that enables a robot control system to learn at a symbolic level during planning and executing tasks. A user can program the robot by simply demonstrating the tasks it should perform. By performing inductive generalization and specialization steps, the system is able to improve its knowledge base. The architecture consists of a set of distributed knowledge units which realize a focus of attention that is necessary for efficient execution and learning, and which also makes competition between different problem solutions possible.\",\"PeriodicalId\":299306,\"journal\":{\"name\":\"Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)\",\"volume\":\"227 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1993.583813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1993.583813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 13

摘要

提出了一种新的系统架构，使机器人控制系统在规划和执行任务时能够在符号层面进行学习。用户可以通过简单地演示机器人应该执行的任务来对其进行编程。通过执行归纳泛化和专门化步骤，系统能够改进其知识库。该体系结构由一组分布式知识单元组成，这些知识单元实现了有效执行和学习所必需的关注焦点，也使不同问题解决方案之间的竞争成为可能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A new system architecture for applying symbolic learning techniques to robot manipulation tasks

Presents a new system architecture that enables a robot control system to learn at a symbolic level during planning and executing tasks. A user can program the robot by simply demonstrating the tasks it should perform. By performing inductive generalization and specialization steps, the system is able to improve its knowledge base. The architecture consists of a set of distributed knowledge units which realize a focus of attention that is necessary for efficient execution and learning, and which also makes competition between different problem solutions possible.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)

自引率

0.00%

发文量